Multi Choice Ecological Intuitionistic Fuzzy Multi Objective Transportation Problem with Non Linear Cost

Authors

  • P. Vijayalakshmi, J. Merline Vinotha

Abstract

The Transportation sector is the major contributor of Air pollutants. This  paper explores on Ecological Intuitionistic fuzzy multi objective transportation problem with nonlinear cost, multi choice supply and demand (EIFMOTP).By analyzing the complexities associated with real life transportation problem like vagueness and uncertainty involved with parameters, the implementations of fuzzy technique is of great use to the uncertain parameters that are expressed using Intuitionistic trapezoidal fuzzy number . This paper focuses on Eco-friendly transportation problem with the core objective functions of nonlinear type, which occurs as a result ofadditional of commodities supplied outstanding at their position of derivation to an assortment of destinations, and on supply, demandfactors are measured to be multi choice. The appropriate choices of demand and supply are selected by using Lagrange’s interpolating polynomial. To extend the fuzzy transportation problem into a green version emissions are compared based on diesel and biodiesel. The optimal solution is obtained by goal programming approach through LINGO software. Mathematicalillustration is given to validate the projected model.

Published

2020-02-29

Issue

Section

Articles